Abstract
Evolutionary programming is demonstrated as a means for minimizing the cost of delivering fuel from a terminal to specified number of stations, each having a projected delivery window as well as carrier and shift constraints. The evolved solution compares favorably with the solution generated using the currently employed human-assisted optimizer. Evolutionary programming offers the potential for considerable cost savings when applied to a large fleet of trucks and/or a large quantity of orders.
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© 1997 Springer-Verlag Berlin Heidelberg
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McDonnell, J.R., Page, W.C., Fogel, D.B., Fogel, L.J. (1997). Optimizing fuel distribution through evolutionary programming. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds) Evolutionary Programming VI. EP 1997. Lecture Notes in Computer Science, vol 1213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014826
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DOI: https://doi.org/10.1007/BFb0014826
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